Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "164"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 164 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 43 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 41 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 164, Node N14:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459858 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 10.491291 12.093954 9.075655 10.031703 2.391722 3.140130 0.859664 0.847753 0.0321 0.0372 0.0027 1.236144 1.231712
2459857 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.608670 1.358863 -0.155310 -0.194848 -0.354583 3.711144 0.948139 1.902143 0.0297 0.0441 0.0059 nan nan
2459856 digital_ok 0.00% 0.00% 0.00% 0.00% 3.43% 9.71% 0.858688 -0.524297 -0.175811 0.562690 -0.679370 0.823307 0.232275 3.080400 0.7242 0.7128 0.3894 2.076043 1.603981
2459855 digital_ok 0.00% 0.00% 0.00% 0.00% 4.58% 0.00% -0.652504 -0.320021 -0.420157 0.246220 -0.956210 1.409421 0.070803 2.947358 0.7172 0.7342 0.4230 1.812631 1.532244
2459854 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.931064 -1.027139 -0.847046 0.467648 -1.007763 1.014166 0.097277 5.960865 0.7292 0.7486 0.4317 3.401150 2.832879
2459853 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.757432 -0.730886 -0.952982 0.763406 -0.917130 0.631378 0.600373 7.313578 0.7516 0.7022 0.4171 3.699188 3.291651
2459852 digital_ok 0.00% 0.00% 0.00% 0.00% 8.65% 1.62% -1.061475 -0.563492 -0.877824 1.109698 -0.981450 0.409352 -0.652271 0.786929 0.8380 0.8373 0.2349 3.420602 2.980500
2459851 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.931895 -0.508530 -0.827063 1.120987 0.709837 0.705793 1.451688 4.299540 0.7703 0.7466 0.3314 3.897546 3.227928
2459850 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.139924 -1.071220 -0.879687 0.763694 -0.733884 1.190358 0.970430 6.737230 0.7566 0.7646 0.3441 3.612928 2.920413
2459849 digital_ok 0.00% 0.00% 0.00% 0.00% 16.67% 0.00% -1.049307 -1.267599 -0.482184 0.845358 -1.072931 0.914635 0.499699 3.840039 0.7548 0.7577 0.3486 1.670690 1.523556
2459848 digital_ok 0.00% 0.00% 0.00% 0.00% 30.15% 0.00% -0.558899 -1.029893 0.157236 -0.019422 -1.052052 1.096566 0.090247 2.008883 0.7315 0.7593 0.3702 1.677120 1.511079
2459847 digital_ok 0.00% 0.00% 0.00% 0.00% 3.21% 0.00% -0.068314 -0.767898 0.206428 0.383086 -0.866392 1.095546 0.578898 2.895887 0.7320 0.6947 0.4243 1.767666 1.605198
2459846 digital_ok 0.00% 0.00% 0.00% 0.00% 33.33% 0.00% -0.684111 -1.101526 0.837286 -0.002578 -1.272141 0.786389 0.001935 1.803352 0.8359 0.6754 0.4904 1.857479 1.484431
2459845 digital_ok 0.00% 0.00% 0.00% 0.00% 16.02% 0.00% -0.447771 -0.794395 0.465701 -0.735519 -0.679872 1.055400 -0.217233 1.619202 0.7325 0.7472 0.3788 1.248510 1.196752
2459844 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.911341 -0.229740 -1.021811 0.458432 -0.301855 2.997633 0.352529 2.987513 0.0901 0.1212 0.0203 nan nan
2459843 digital_ok 100.00% 1.20% 0.66% 0.00% 100.00% 0.00% -0.599452 -1.165370 -0.653538 4.468012 -1.315144 5.178516 -0.419662 1.933986 0.7472 0.7397 0.3959 4.954533 3.685399
2459842 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.500250 -0.848958 -0.192888 2.849751 0.284537 0.714831 -0.106069 0.625824 0.7649 0.6856 0.2479 2.322948 2.165346
2459841 digital_ok 100.00% 100.00% 100.00% 0.00% - - 2.353645 5.587396 -0.607355 2.789858 3.550667 22.305110 2.173711 3.018231 0.0903 0.1049 0.0285 nan nan
2459840 digital_ok 100.00% 100.00% 100.00% 0.00% - - 134.737310 190.919882 62.943153 89.521803 439.824918 1050.477833 1118.496177 2231.503197 0.0176 0.0162 0.0010 nan nan
2459839 digital_ok 100.00% - - - - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459838 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.61% -0.689841 -0.920870 -0.988082 -0.463877 -1.442236 -0.252215 0.151278 1.020439 0.7588 0.7280 0.3903 2.302992 2.203725
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0387 0.0678 0.0081 nan nan
2459835 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.392521 -1.096534 -1.083761 0.302748 -0.554057 0.861682 0.219525 0.073985 0.0387 0.0673 0.0070 nan nan
2459833 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.037827 -0.058319 -0.518248 0.179399 1.879935 2.068204 1.449844 1.257953 0.0310 0.0361 0.0053 nan nan
2459832 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.965279 -1.508570 -1.159467 -0.504167 -1.083442 -0.162307 0.393753 1.598992 0.8136 0.5570 0.5765 1.856859 1.817886
2459831 digital_ok 0.00% 100.00% 100.00% 0.00% - - 1.451097 1.959743 -0.594198 0.542825 2.180570 2.529960 1.262668 1.142364 0.0294 0.0284 0.0013 nan nan
2459830 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 2.63% -1.775951 -1.570831 -1.145823 -0.496914 -0.633560 0.374031 0.668831 1.954648 0.8117 0.5629 0.5688 1.667215 1.617125
2459829 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.591805 -1.744314 -1.013155 -0.613822 -0.998354 -0.444845 1.132919 3.860297 0.7612 0.6883 0.4113 1.266030 1.045948
2459828 digital_ok 0.00% 0.00% 0.00% 0.00% 55.26% 44.74% -0.955536 -1.353628 -0.936985 -0.580691 -0.724465 0.393878 0.456196 1.254847 0.8100 0.5736 0.5488 0.000000 0.000000
2459827 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.530206 -0.629968 -0.736417 0.425404 -0.499359 19.994449 0.719159 2.416603 0.7723 0.6975 0.4062 0.000000 0.000000
2459826 digital_ok 0.00% 0.00% 0.00% 0.00% 28.95% 55.26% -1.165266 -1.311671 -0.845106 -0.732171 -1.133669 -0.284489 3.102420 1.610292 0.8117 0.6080 0.5058 inf inf
2459825 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.058802 -0.981195 -0.861187 -0.340072 6.735090 6.745734 5.618963 4.653924 0.8090 0.6152 0.5087 5.339574 5.879677
2459824 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -1.737120 -1.204536 -0.753270 -0.289831 5.374617 5.647878 19.343149 10.423201 0.7420 0.7573 0.3519 4.589130 6.203419
2459823 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.751086 -1.413271 -0.547635 -0.630496 -0.415645 -0.690112 -0.071578 0.720728 0.7772 0.6697 0.4531 2.913442 2.958160
2459822 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.990601 -1.283345 -0.725418 -0.753682 0.684958 0.749105 1.438153 0.788568 0.8179 0.6464 0.4980 2.080178 1.912494
2459821 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.149270 -0.615495 -0.798047 -1.003947 -0.006517 0.340616 0.454017 0.363421 0.8019 0.6413 0.5060 2.038266 2.066235
2459820 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 1.60% -0.556028 -1.397079 -0.849979 -0.878833 -1.255444 -0.324803 0.297748 1.643809 0.7838 0.6979 0.4089 2.358850 2.032974
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.495705 -0.965821 -0.995395 -0.893566 -0.771967 -0.752331 0.894536 0.787647 0.8097 0.6716 0.4987 2.239973 2.239462
2459816 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.157818 -1.188442 -1.290107 -0.092556 -1.204611 -0.460462 0.497902 0.342429 0.8486 0.6145 0.5782 2.129774 1.819360
2459815 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.296362 -1.268657 -1.209108 -0.442444 -1.350061 -0.359713 -0.093713 1.259115 0.7985 0.6747 0.5136 2.286386 2.171537
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -1.076654 -1.841286 -1.019640 -1.082735 -1.885984 -1.072860 0.075846 2.327424 0.7979 0.7089 0.4059 2.821982 2.156941

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 164: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Shape 12.093954 12.093954 10.491291 10.031703 9.075655 3.140130 2.391722 0.847753 0.859664

Antenna 164: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Variability 3.711144 1.358863 0.608670 -0.194848 -0.155310 3.711144 -0.354583 1.902143 0.948139

Antenna 164: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 3.080400 0.858688 -0.524297 -0.175811 0.562690 -0.679370 0.823307 0.232275 3.080400

Antenna 164: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 2.947358 -0.320021 -0.652504 0.246220 -0.420157 1.409421 -0.956210 2.947358 0.070803

Antenna 164: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 5.960865 -1.027139 -0.931064 0.467648 -0.847046 1.014166 -1.007763 5.960865 0.097277

Antenna 164: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 7.313578 -0.730886 -0.757432 0.763406 -0.952982 0.631378 -0.917130 7.313578 0.600373

Antenna 164: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Power 1.109698 -1.061475 -0.563492 -0.877824 1.109698 -0.981450 0.409352 -0.652271 0.786929

Antenna 164: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 4.299540 -0.931895 -0.508530 -0.827063 1.120987 0.709837 0.705793 1.451688 4.299540

Antenna 164: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 6.737230 -1.139924 -1.071220 -0.879687 0.763694 -0.733884 1.190358 0.970430 6.737230

Antenna 164: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 3.840039 -1.049307 -1.267599 -0.482184 0.845358 -1.072931 0.914635 0.499699 3.840039

Antenna 164: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 2.008883 -1.029893 -0.558899 -0.019422 0.157236 1.096566 -1.052052 2.008883 0.090247

Antenna 164: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 2.895887 -0.767898 -0.068314 0.383086 0.206428 1.095546 -0.866392 2.895887 0.578898

Antenna 164: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 1.803352 -0.684111 -1.101526 0.837286 -0.002578 -1.272141 0.786389 0.001935 1.803352

Antenna 164: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 1.619202 -0.794395 -0.447771 -0.735519 0.465701 1.055400 -0.679872 1.619202 -0.217233

Antenna 164: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Variability 2.997633 -0.911341 -0.229740 -1.021811 0.458432 -0.301855 2.997633 0.352529 2.987513

Antenna 164: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Variability 5.178516 -1.165370 -0.599452 4.468012 -0.653538 5.178516 -1.315144 1.933986 -0.419662

Antenna 164: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Power 2.849751 -0.500250 -0.848958 -0.192888 2.849751 0.284537 0.714831 -0.106069 0.625824

Antenna 164: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Variability 22.305110 2.353645 5.587396 -0.607355 2.789858 3.550667 22.305110 2.173711 3.018231

Antenna 164: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 2231.503197 134.737310 190.919882 62.943153 89.521803 439.824918 1050.477833 1118.496177 2231.503197

Antenna 164: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 164: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 1.020439 -0.920870 -0.689841 -0.463877 -0.988082 -0.252215 -1.442236 1.020439 0.151278

Antenna 164: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Variability 0.861682 -1.096534 -0.392521 0.302748 -1.083761 0.861682 -0.554057 0.073985 0.219525

Antenna 164: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Variability 2.068204 -0.058319 0.037827 0.179399 -0.518248 2.068204 1.879935 1.257953 1.449844

Antenna 164: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 1.598992 -1.965279 -1.508570 -1.159467 -0.504167 -1.083442 -0.162307 0.393753 1.598992

Antenna 164: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Variability 2.529960 1.451097 1.959743 -0.594198 0.542825 2.180570 2.529960 1.262668 1.142364

Antenna 164: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 1.954648 -1.775951 -1.570831 -1.145823 -0.496914 -0.633560 0.374031 0.668831 1.954648

Antenna 164: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 3.860297 -1.744314 -1.591805 -0.613822 -1.013155 -0.444845 -0.998354 3.860297 1.132919

Antenna 164: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 1.254847 -1.353628 -0.955536 -0.580691 -0.936985 0.393878 -0.724465 1.254847 0.456196

Antenna 164: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Variability 19.994449 -0.530206 -0.629968 -0.736417 0.425404 -0.499359 19.994449 0.719159 2.416603

Antenna 164: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok ee Temporal Discontinuties 3.102420 -1.311671 -1.165266 -0.732171 -0.845106 -0.284489 -1.133669 1.610292 3.102420

Antenna 164: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Variability 6.745734 -0.981195 -1.058802 -0.340072 -0.861187 6.745734 6.735090 4.653924 5.618963

Antenna 164: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok ee Temporal Discontinuties 19.343149 -1.737120 -1.204536 -0.753270 -0.289831 5.374617 5.647878 19.343149 10.423201

Antenna 164: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 0.720728 -1.413271 -0.751086 -0.630496 -0.547635 -0.690112 -0.415645 0.720728 -0.071578

Antenna 164: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok ee Temporal Discontinuties 1.438153 -0.990601 -1.283345 -0.725418 -0.753682 0.684958 0.749105 1.438153 0.788568

Antenna 164: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok ee Temporal Discontinuties 0.454017 -0.615495 -0.149270 -1.003947 -0.798047 0.340616 -0.006517 0.363421 0.454017

Antenna 164: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 1.643809 -0.556028 -1.397079 -0.849979 -0.878833 -1.255444 -0.324803 0.297748 1.643809

Antenna 164: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
164 N14 digital_ok ee Temporal Discontinuties 0.894536 -0.495705 -0.965821 -0.995395 -0.893566 -0.771967 -0.752331 0.894536 0.787647

Antenna 164: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok ee Temporal Discontinuties 0.497902 -1.188442 -1.157818 -0.092556 -1.290107 -0.460462 -1.204611 0.342429 0.497902

Antenna 164: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 1.259115 -1.268657 -1.296362 -0.442444 -1.209108 -0.359713 -1.350061 1.259115 -0.093713

Antenna 164: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 164: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
164 N14 digital_ok nn Temporal Discontinuties 2.327424 -1.841286 -1.076654 -1.082735 -1.019640 -1.072860 -1.885984 2.327424 0.075846
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